☆32May 24, 2023Updated 2 years ago
Alternatives and similar repositories for datamodels
Users that are interested in datamodels are comparing it to the libraries listed below
Sorting:
- Data for "Datamodels: Predicting Predictions with Training Data"☆97May 25, 2023Updated 2 years ago
- A fast, effective data attribution method for neural networks in PyTorch☆232Nov 18, 2024Updated last year
- ☆10Oct 20, 2023Updated 2 years ago
- Code for paper 'Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning'☆18Apr 19, 2024Updated last year
- ☆16Jul 20, 2023Updated 2 years ago
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆25Dec 12, 2023Updated 2 years ago
- The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" (CVPR …☆22Aug 20, 2024Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Aug 15, 2023Updated 2 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆87Feb 27, 2024Updated 2 years ago
- The PackNet Continual Learning Method in Pytorch☆15Aug 19, 2021Updated 4 years ago
- ☆14Mar 4, 2024Updated 2 years ago
- Mixture of Decision Trees for Interpretable Machine Learning☆11Sep 2, 2021Updated 4 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Feb 27, 2023Updated 3 years ago
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆37Jan 23, 2024Updated 2 years ago
- Visualization of mean field and neural tangent kernel regime☆23Jul 25, 2024Updated last year
- ☆23Apr 5, 2023Updated 2 years ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆39Dec 27, 2022Updated 3 years ago
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Jan 12, 2024Updated 2 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated last year
- ☆65Jan 13, 2022Updated 4 years ago
- [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…☆13Feb 13, 2022Updated 4 years ago
- ☆51Jan 24, 2024Updated 2 years ago
- Understanding Rare Spurious Correlations in Neural Network☆12Jun 5, 2022Updated 3 years ago
- ☆17Mar 23, 2025Updated 11 months ago
- ☆35Sep 23, 2022Updated 3 years ago
- This is a Pytorch implementation of contrastive Learning(CL) baselines.☆14Aug 29, 2022Updated 3 years ago
- ☆15Mar 20, 2025Updated last year
- ☆44Oct 13, 2023Updated 2 years ago
- DAM Data Acquisition for ML Benchmark, as part of the DataPerf benchmark suite, https://dataperf.org/☆25May 25, 2023Updated 2 years ago
- 👋 Influenciae is a Tensorflow Toolbox for Influence Functions☆66Updated this week
- Find the samples, in the test data, on which your (generative) model makes mistakes.☆30Oct 16, 2024Updated last year
- ☆14Aug 1, 2024Updated last year
- XReason - formal reasoning about explanations for ML models☆17May 16, 2025Updated 10 months ago
- A python library to discover and mitigate biases in machine learning models and datasets☆20Jul 6, 2023Updated 2 years ago
- PyTorch implementations of Adversarial defenses and utils.☆34Dec 25, 2023Updated 2 years ago
- One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)☆14Sep 28, 2025Updated 5 months ago
- Shadow Attack, LiRA, Quantile Regression and RMIA implementations in PyTorch (Online version)☆14Nov 8, 2024Updated last year
- Decomposing and Editing Predictions by Modeling Model Computation☆139Jun 12, 2024Updated last year
- Official repo of the paper Deep Regression Unlearning accepted in ICML 2023☆14Jun 14, 2023Updated 2 years ago